[HTML][HTML] Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

L Alzubaidi, J Zhang, AJ Humaidi, A Al-Dujaili… - Journal of big Data, 2021 - Springer
In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …

[HTML][HTML] Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review

MA Kassem, KM Hosny, R Damaševičius, MM Eltoukhy - Diagnostics, 2021 - mdpi.com
Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in developing computer-aided diagnosis …

[PDF][PDF] A machine learning model for skin disease classification using convolution neural network

VR Allugunti - … Journal of Computing, Programming and Database …, 2022 - researchgate.net
Melanoma is a skin disease that tends to be lethal. It occurs when melanocytes develop in
an uncontrolled manner. Melanoma goes under a few different names, including malignant …

[HTML][HTML] Analysis of the ISIC image datasets: Usage, benchmarks and recommendations

B Cassidy, C Kendrick, A Brodzicki… - Medical image …, 2022 - Elsevier
Abstract The International Skin Imaging Collaboration (ISIC) datasets have become a
leading repository for researchers in machine learning for medical image analysis …

Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

M Heidari, S Mirniaharikandehei, AZ Khuzani… - International journal of …, 2020 - Elsevier
Objective This study aims to develop and test a new computer-aided diagnosis (CAD)
scheme of chest X-ray images to detect coronavirus (COVID-19) infected pneumonia …

Transfer learning for medical images analyses: A survey

X Yu, J Wang, QQ Hong, R Teku, SH Wang, YD Zhang - Neurocomputing, 2022 - Elsevier
The advent of deep learning has brought great change to the community of computer
science and also revitalized numerous fields where traditional machine learning methods …

A novel melanoma prediction model for imbalanced data using optimized SqueezeNet by bald eagle search optimization

GI Sayed, MM Soliman, AE Hassanien - Computers in biology and …, 2021 - Elsevier
Skin lesion classification plays a crucial role in diagnosing various gene and related local
medical cases in the field of dermoscopy. In this paper, a new model for the classification of …

[HTML][HTML] Skin lesion segmentation and multiclass classification using deep learning features and improved moth flame optimization

MA Khan, M Sharif, T Akram, R Damaševičius… - Diagnostics, 2021 - mdpi.com
Manual diagnosis of skin cancer is time-consuming and expensive; therefore, it is essential
to develop automated diagnostics methods with the ability to classify multiclass skin lesions …

[HTML][HTML] Artificial intelligence in dermatology image analysis: current developments and future trends

Z Li, KC Koban, TL Schenck, RE Giunta, Q Li… - Journal of clinical …, 2022 - mdpi.com
Background: Thanks to the rapid development of computer-based systems and deep-
learning-based algorithms, artificial intelligence (AI) has long been integrated into the …

Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare

S Maqsood, R Damaševičius - Neural networks, 2023 - Elsevier
Background: The idea of smart healthcare has gradually gained attention as a result of the
information technology industry's rapid development. Smart healthcare uses next-generation …